divyanshuaggarwal/IndicXNLI

Code Repository for the IndicXNLI paper.

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Experimental

This project provides a robust dataset and tools for evaluating how well AI models understand and interpret language across different Indian languages. It takes English natural language inference (NLI) tasks and translates them into 11 Indic languages, allowing researchers to input text in these languages and assess an AI model's ability to determine logical relationships. Language researchers, AI model developers, and computational linguists focused on Indic languages would use this to benchmark and improve multilingual AI.

No commits in the last 6 months.

Use this if you need to evaluate the performance of AI models on natural language inference tasks specifically for a range of Indian languages.

Not ideal if your focus is on developing new translation models rather than evaluating the inference capabilities of existing AI models using translated datasets.

natural-language-processing multilingual-AI indic-languages AI-model-evaluation computational-linguistics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 5 / 25

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Language

Python

License

MIT

Last pushed

Jul 08, 2023

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